DocumentCode :
1764119
Title :
A Smooth Entropy Approach to Quantum Hypothesis Testing and the Classical Capacity of Quantum Channels
Author :
Datta, Nipu ; Mosonyi, Milan ; Min-Hsiu Hsieh ; Brandao, Fernando G. S. L.
Author_Institution :
Stat. Lab., Univ. of Cambridge, Cambridge, UK
Volume :
59
Issue :
12
fYear :
2013
fDate :
Dec. 2013
Firstpage :
8014
Lastpage :
8026
Abstract :
We use the smooth entropy approach to treat the problems of binary quantum hypothesis testing and the transmission of classical information through a quantum channel. We provide lower and upper bounds on the optimal type II error of quantum hypothesis testing in terms of the smooth max-relative entropy of the two states representing the two hypotheses. Then using a relative entropy version of the quantum asymptotic equipartition property (QAEP), we can recover the strong converse rate of the i.i.d. hypothesis testing problem in the asymptotics. On the other hand, combining Stein´s lemma with our bounds, we obtain a stronger ( ε-independent) version of the relative entropy-QAEP. Similarly, we provide bounds on the one-shot ε-error classical capacity of a quantum channel in terms of a smooth max-relative entropy variant of its Holevo capacity. Using these bounds and the ε-independent version of the relative entropy-QAEP, we can recover both the Holevo- Schumacher- Westmoreland theorem about the optimal direct rate of a memoryless quantum channel with product state encoding, as well as its strong converse counterpart.
Keywords :
encoding; entropy; maximum entropy methods; quantum communication; Holevo capacity; Holevo-Schumacher-Westmoreland theorem; binary quantum hypothesis testing; i.i.d. hypothesis testing problem; memoryless quantum channel capacity; one-shot ε-error classical capacity; quantum asymptotic equipartition property; relative entropy-QAEP; smooth max-relative entropy; Educational institutions; Encoding; Entropy; Hilbert space; Relativistic quantum mechanics; Testing; Capacity; hypothesis testing; quantum channels; smooth max-relative entropy; strong converse;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/TIT.2013.2282160
Filename :
6670246
Link To Document :
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